🧠 Digital Footprint Personality Mapper

An AI-powered Streamlit web app that predicts Big Five personality traits based on social media behavior.
This tool transforms engagement data — likes, comments, hashtags, emojis, and sentiment — into personality insights that help understand digital behavior patterns.

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🚀 Features

• 🧩 Predicts Big Five Personality Traits:
  • Openness
  • Conscientiousness
  • Extraversion
  • Agreeableness
  • Neuroticism
• 📊 Clean and interactive dashboard built with Streamlit
• 📈 Real-time visualization using Plotly
• ⚙️ Intelligent scoring logic with simulated model predictions
• 🎨 Professionally styled UI with custom HTML & CSS
• 🧾 Sidebar input for user behavior and sentiment metrics

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🧠 How It Works

1. The user enters social media activity metrics:
   • Total posts, likes, comments, post frequency, and response time
   • Sentiment percentages, emoji, and hashtag usage
2. The app calculates engagement and sentiment-based features.
3. These features are fed into a simulated model that outputs personality trait scores between 0 and 1.
4. The results are displayed as interactive bar charts and progress bars.

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🛠️ Tech Stack

• Python 3.x
• Streamlit
• Plotly
• NumPy
• Pandas
• scikit-learn (for future model integration)
• Custom HTML/CSS for a sleek and modern interface

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⚙️ Installation

Clone this repository:

git clone https://github.com/Yugal0708/Digital-Footprint-Personality-Mapper.git